In vehicular ad hoc networks (VANETs), content pre-caching is a significant technology that improves network performance and lowers network response delay. VANET faces network …
Many researchers have proposed algorithms to improve the network performance of vehicular ad hoc network (VANET) clustering techniques for different applications. The …
G Zhu, H Yao, T Mai, Z Wang, D Wu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The flying ad hoc networks (FANETs) have attracted a large amount of attention from both academia and industry. Benefiting from the flexibility, the FANETs have been widely …
MK Jabbar, H Trabelsi - Journal of Electrical and Computer …, 2023 - Wiley Online Library
A smart city's vehicular communication strategy is important. A significant problem with vehicular communication is scalability. Clustering can help with vehicular ad hoc network …
A Kumari, S Kumar, RS Raw - The Journal of Supercomputing, 2024 - Springer
Vehicle ad hoc networks (VANETs) have garnered considerable attention for their potential to enhance road safety and facilitate advanced driver assistance systems. A fundamental …
A Kumari, S Kumar, RS Raw - Cluster Computing, 2024 - Springer
Modern smart cities rely on Vehicular Ad-hoc Networks (VANETs) for real-time traffic safety warnings and collision avoidance. However, high mobility, variable driving patterns, and …
VK Meera, C Balasubramanian - Sustainable Computing: Informatics and …, 2024 - Elsevier
The popularity of intelligent vehicles with cutting-edge vehicular applications has fueled the rapid expansion of Vehicular Ad hoc Networks (VANETs) in recent years. VANETs are a …
MK Jabbar, H Trabelsi - 2022 15th International Conference on …, 2022 - ieeexplore.ieee.org
A vehicular communication system in smart cities is critical. For vehicular ad hoc networks (VANETs), scalability and routing reliability are important challenges. Clustering can help to …
Reliability is a critical issue in vehicular networks. A deep learning (DL) method is proposed in this study to automatically predict the reliability of cognitive radio vehicular networks (CR …